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2篇 您的检索式：作者名="Jason Vallet"

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		题名	作者	年代	出处	被引量
	1	On visualization techniques comparison for large social networks overview:A user experiment显示文摘Visualizing social networks,especially an overview emphasizing their structure,i.e.,communities and their interconnections,is known to be a challenging problem.In this paper,we present a set of design rationales to build such overview visualizations of social networks and our solution called Jasper.We evaluate its performances against two of the most wide-spread visualization techniques(matrix and node-link diagram)in a human–computer controlled experiment based on community-related tasks.While none of the techniques emerge as the overwhelming winner,Jasper appears to be one of the best methods for each task;a fact sustained by the marks given by the users.Overall,Jasper can be seen as an all-encompassing solution for quickly producing legible and compact overviews of large social networks on a single modern computer.	Bruno Pinaud Jason Vallet Guy Melancn	2020	Visual Informatics2020，4，4：	1
	2	NetPrune:A sparklines visualization for network pruning显示文摘Current deep learning approaches are cutting-edge methods for solving classification tasks.Arising transfer learning techniques allows applying large generic model to simple tasks whereas simpler models could be used.Large models raise the major problem of their memory consumption and processor usage and lead to a prohibitive ecological footprint.In that paper,we present a novel visual analytics approach to interactively prune those networks and thus limit that issue.Our technique leverages a novel sparkline matrix visualization technique as well as a novel local metric which evaluates the discriminatory power of a filter to guide the pruning process and make it interpretable.We assess the well-founded of our approach through two realistic case studies and a user study.For both of them,the interactive refinement of the model led to a significantly smaller model having similar prediction accuracy than the original one.	Luc-Etienne Pommé Romain Bourqui Romain Giot Jason Vallet David Auber	2023	Visual Informatics2023，7，2：	0

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